Matthew German

1.3k citations
14 papers · 581 · h-index 10

Impact in

Papers in

Matthew German

13 papers receiving 560 citations

Peers

Matthew German
Comparison fields: 5 of 76
  • Modeling and Simulation 231
  • Infectious Diseases 328
  • Public Health, Environmental and Occupational Health 382
  • Emergency Medical Services 36
  • Epidemiology 75
Replace Jennifer Miniota with:
Jennifer Miniota Canada
David Kossowsky Canada
Guido España United States
Jailos Lubinda United States
Attila Dénes Hungary
Mabel Carabalí Canada
Áine B. Collins Ireland
Shuk-Kwan Chuang China
Lindsay T. Keegan United States
Esther Hamblion Republic of the Congo
Matthew German relative to Jennifer Miniota Canada Jennifer Miniota's profile →
Citations per field
00.5×1.5×
Jennifer Miniota · 1×
Citations per year

Countries citing papers authored by Matthew German

Since Specialization
Citations

This map shows the geographic impact of Matthew German's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Matthew German with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Matthew German more than expected).

Fields of papers citing papers by Matthew German

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Matthew German. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Matthew German. The network helps show where Matthew German may publish in the future.

Co-authors

The 25 scholars most cited alongside Matthew German, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Matthew German Line = papers co-authored together Matthew German links everyone, so they are left out of the graph.

All Works

14 of 14 papers shown
#Work
1 2014169
2 2016121
3 201684
4 201476
5 201731
6 201831
7 201718
8 199416
9 201514
10 201510
11 20188
12 20162
13 20211
14 20240

About Matthew German

Matthew German is a scholar working on Infectious Diseases, Public Health, Environmental and Occupational Health, Modeling and Simulation, Surgery and Epidemiology, having authored 14 papers that have together received 581 indexed citations. Recurring topics across this work include COVID-19 epidemiological studies (7 papers), Mosquito-borne diseases and control (6 papers), Viral Infections and Vectors (6 papers), COVID-19 Pandemic Impacts (2 papers), SARS-CoV-2 and COVID-19 Research (2 papers), Infective Endocarditis Diagnosis and Management (2 papers), Antimicrobial Resistance in Staphylococcus (1 paper) and Mechanical Circulatory Support Devices (1 paper). The work is most often cited by research in Modeling and Simulation (231 citations), Infectious Diseases (328 citations), Public Health, Environmental and Occupational Health (382 citations), Emergency Medical Services (36 citations) and Epidemiology (75 citations). Matthew German has collaborated with scholars based in United States, Canada and United Kingdom. Frequent co-authors include Kamran Khan, Isaac I. Bogoch, Maria I. Creatore, John S. Brownstein, Simon I Hay, Oliver J. Brady, Moritz U. G. Kraemer, Martín S. Cetron, Jennifer Miniota and Alexander Watts. Their work appears in journals such as Travel Medicine and Infectious Disease, PLoS Currents, Bulletin of the World Health Organization, Emerging infectious diseases and EBioMedicine.

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

Explore authors with similar magnitude of impact